Mini-workshop on Graph Neural Networks for Tracking
Friday, June 3, 2022 -
9:00 AM
Monday, May 30, 2022
Tuesday, May 31, 2022
Wednesday, June 1, 2022
Thursday, June 2, 2022
Friday, June 3, 2022
9:00 AM
Welcome
-
Savannah Jennifer Thais
(
Princeton University (US)
)
Welcome
Savannah Jennifer Thais
(
Princeton University (US)
)
9:00 AM - 9:10 AM
9:10 AM
Accelerated Graph Neural Network Inference
-
Javier Mauricio Duarte
(
Univ. of California San Diego (US)
)
Accelerated Graph Neural Network Inference
Javier Mauricio Duarte
(
Univ. of California San Diego (US)
)
9:10 AM - 9:50 AM
9:50 AM
A differentiable graph pooling method based on spatial clustering algorithms”
-
Ryan Liu
A differentiable graph pooling method based on spatial clustering algorithms”
Ryan Liu
9:50 AM - 10:10 AM
10:10 AM
BESIII track finding algorithm based on edge-classifying GNN
-
Xiaoqian Jia
BESIII track finding algorithm based on edge-classifying GNN
Xiaoqian Jia
10:10 AM - 10:30 AM
10:30 AM
Coffee
Coffee
10:30 AM - 10:50 AM
10:50 AM
Heterogeneous GNN for tracking
-
Daniel Thomas Murnane
(
Lawrence Berkeley National Lab. (US)
)
Heterogeneous GNN for tracking
Daniel Thomas Murnane
(
Lawrence Berkeley National Lab. (US)
)
10:50 AM - 11:10 AM
11:10 AM
GNN Interpretability in HEP
-
Savannah Jennifer Thais
(
Princeton University (US)
)
GNN Interpretability in HEP
Savannah Jennifer Thais
(
Princeton University (US)
)
11:10 AM - 11:50 AM
11:50 AM
Pion reconstruction in the ATLAS detector using Graph Neural Networks
-
Piyush Karande
Pion reconstruction in the ATLAS detector using Graph Neural Networks
Piyush Karande
11:50 AM - 12:10 PM
12:10 PM
Lunch
Lunch
12:10 PM - 1:10 PM
1:10 PM
Graph generative networks
-
Thiago Tomei Fernandez
(
UNESP - Universidade Estadual Paulista (BR)
)
Graph generative networks
Thiago Tomei Fernandez
(
UNESP - Universidade Estadual Paulista (BR)
)
1:10 PM - 1:40 PM
1:40 PM
Towards Achieving Real-time GNN Inference
-
Alina Lazar
Alina Lazar
Towards Achieving Real-time GNN Inference
Alina Lazar
Alina Lazar
1:40 PM - 2:00 PM
2:00 PM
Equivariant Graph Networks
-
Daniel Thomas Murnane
(
Lawrence Berkeley National Lab. (US)
)
Equivariant Graph Networks
Daniel Thomas Murnane
(
Lawrence Berkeley National Lab. (US)
)
2:00 PM - 2:30 PM